Stop Reviewing AI Outputs. Start Engineering Them
How to design an AI workflow fit for real safety work.
On AI-assisted hazard analysis, cybersecurity in safety cases and AI adoption in safety-critical engineering.
How to design an AI workflow fit for real safety work.

Prompt and context engineering for safety engineers: practitioner talks in the morning, hands-on workshops in the afternoon. With Paul Hampton, Rudi Hennessy and Alan Simpson.
With Lucas Domingues, on where AI adds value in safety-critical engineering and where the hype outruns it.

An LLM tested against a real HAZOP for a deployable water treatment system. It worked like a methodical junior engineer, and its errors were the reviewable kind. Lead author, with Thomas Wilkinson, Mathew Wylie and Luke Hankins.
The SCSC keynote, given again by invitation for IChemE.
How large language models can support and strengthen established safety engineering practice, with engineers keeping the judgement.

Effectiveness of Controls: a method for bringing cybersecurity risk into safety cases to support ALARP arguments, now applied across multiple platforms. Lead author, with Mathew Wylie and Neil Stiff.
Speaking on AI adoption in regulated industries, for conferences, seminars, podcasts and in-house sessions.